I need a fully working Coqui-TTS solution that produces a natural-sounding cloned voice matching a 7 to 8-year-old amiable gender neautral child voice. The system must come to me tested end-to-end in both English and Hindi, with the architecture kept flexible so I can plug in additional languages later without major refactoring. You will deliver: • A trained speaker-embedding and synthesis model built with Coqui-TTS that reaches a clearly childlike timbre. • Inference code and REST/HTTP hooks I can host on my own cloud instance, callable from lightweight edge devices such as an ESP32 or a Raspberry Pi. • A concise setup guide covering environment, installation, and the exact steps for adding a new language or retraining the speaker embedding when new samples arrive. • Demo scripts (or a simple web page) proving correct pronunciation and expressive prosody in both target languages. and I want the complete overview of latency, and how you are going to approach the problem while you are posting the job. I’ll judge the work by clarity of the child’s voice, intelligibility across the two languages, latency under 500 ms per sentence on my server, and the ease with which I can drop in an additional language pack.